Newest papers

SOMA: Continuous Monitoring and Intervention for System Two Reasoning with System One Models

Ruizhi Qian, Lei Shi, Tianyu Hu, Bo Yan, Song Wang, Yu Tian · 2026 · arXiv (Cornell University)

DOI: 10.48550/arxiv.2610.26793 · cited by 0 works (OpenAlex) · open-access PDF

Japanese

理性モデルは、しばしば問題に直面することなく、症状が自分自身のテキストで目に見える場合でも、ヒトでは、メタコニチウムは、監視と制御を分離します:速い、直感的な信号は、遅い間、意図的な理性が展開し、それらを変更するかどうかを決定するのに役立ちます。システムワン(S1)の決定モデルは、Jevのような、この役割のための自然候補です:彼らは、一つの迅速な呼び出しでテキストについての自然言語の質問のためのカリブレートされた確率を返します:しかし、それらは、理性の前にゲートとしてのみ使用されます。我々は、SOMA(システムワンメタコニチウム意識)を導入します(システム

Machine translation (Meta M2M100); the English original follows.

Abstract

Reasoning models often run into problems without noticing them, even when symptoms are visible in their own text. In humans, metacognition separates monitoring from control: fast, intuitive signals keep watch while slow, deliberate reasoning unfolds and help decide whether to continue, change course, or stop. System One (S1) decision models, such as Jev, are a natural candidate for this role: they return a calibrated probability for a natural-language question about a text in one fast call, yet they are used only as gates before reasoning. We introduce SOMA (System One Metacognitive Awareness), in which an S1 model continuously monitors a System Two (S2) reasoning model and intervenes when needed. SOMA has three layers: a scenario layer states each objective in natural language with predefined actions, an awareness layer lets S1 judge whether the described behavior appears, and a control layer accumulates these judgments, first reminds S2, and takes over only if the behavior persists. Sharing one S1 model and one controller across tasks, without training, SOMA addresses two different failures on two reasoning models: on overthinking, it cuts reasoning tokens by up to 36\% while improving average accuracy, and on unanswerable questions, it raises abstention from 70.5\% to 87.2\%.

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Topics: Computer science, Metacognition, Soma, Control (management), Natural (archaeology), Artificial intelligence

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